Detection of a TRAF1-ALK fusion in an anaplastic large cell lymphoma patient with chemotherapy and ALK inhibitor-resistant disease
Bibliographic record
Abstract
BACKGROUND: The anaplastic lymphoma kinase (ALK) gene encodes a receptor tyrosine kinase, which was first identified as the fusion partner of the nucleophosmin (NPM1) gene in the recurrent t(2;5)(p23;q35) found in a subset of anaplastic large cell lymphoma (ALCL). Several distinct, non-NPM1, ALK fusions have subsequently been described in lymphomas and other tumor types. All of these fusions result in the constitutive expression and activation of ALK and ALK signaling pathways, ultimately leading to the malignant phenotype. CASE REPORT: A non-NPM1 fusion partner of ALK was identified in a 32-year-old Caucasian male ALCL patient whose disease was refractory to standard chemotherapy and autologous stem cell transplantation, and exhibited a poor response to a first-generation ALK inhibitor. Non-allele-specific ALK RT-qPCR revealed ALK overexpression and 5' RACE PCR revealed that the patient's lymphoma expressed a TRAF1-ALK fusion. CONCLUSIONS: We report the case of an ALCL patient whose tumor harbored the newly recognized TRAF1-ALK fusion and describe the clinical outcome after treatment with an ALK inhibitor. The short survival of our patient may reflect a propensity toward aggressive behavior in lymphomas that express this ALK fusion.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".